Recent Advances and Applications of Machine Learning in Metal Forming Processes - Hardcover

Hardcover

ISBN 10: 3036557717 ISBN 13: 9783036557717

Publisher: Mdpi AG, 2022

Synopsis

Machine learning (ML) technologies are emerging in Mechanical Engineering, driven by the increasing availability of datasets, coupled with the exponential growth in computer performance. In fact, there has been a growing interest in evaluating the capabilities of ML algorithms to approach topics related to metal forming processes, such as:

Classification, detection and prediction of forming defects;

Material parameters identification;

Material modelling;

Process classification and selection;

Process design and optimization.

The purpose of this Special Issue is to disseminate state-of-the-art ML applications in metal forming processes, covering 10 papers about the abovementioned and related topics.

Edition details

• Publisher: Mdpi AG
• Publication date: 2022
• Language: English
• ISBN 10: 3036557717
• ISBN 13: 9783036557717
• Binding: Hardcover
• Number of pages: 210
• Editor: Prates Pedro, Pereira Andre